需求侧管理下智能家庭用电多目标优化控制

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Title:

Multiobjective optimization control of intelligent household electricity with demand management

作者:

鲍毅¹, 楼凤丹², 王万良³

1. 杭州天丽科技有限公司, 浙江 杭州 310051;
2. 国网浙江省电力公司信息通信分公司, 浙江 杭州 310073;
3. 浙江工业大学 计算机科学与技术学院, 浙江 杭州 310023

Author(s):

BAO Yi¹, LOU Fengdan², WANG Wanliang³

1. Hangzhou TianLi Electronic Technology co., LTD, Hangzhou 310051, China;
2. State Network Zhejiang Electric Power Corporation Information Communications Branch, Hangzhou 3100073, China;
3. School of Computer Science and Technology, Zhejiang Univer

关键词:

需求侧管理; 智能电网; 多目标决策; 优化控制; 蜻蜓算法; 家庭用电; 智能控制; 负载分类

Keywords:

demand management; smart grid; multi-objective decision; optimal control; dragonfly algorithm; household electricity; intelligent control; load classification

分类号:

TP18

DOI:

10.11992/tis.201705030

摘要:

针对家庭内附加型负载进行需求侧管理，缓解高峰时刻电网压力，提出一种智能电网环境的家庭用电控制系统。设计了智能控制器，可以获取用户家庭负荷信息并为用户提供分时电价计量，同时便于供电侧直接进行需求侧控制。提出了多目标蜻蜓算法，针对降低负载功率和减少需求响应延时时间两个目标进行求解，其迭代速度快，满足即时响应的需求。500个家庭的实验结果显示，家庭用电控制系统合理，降低了用户用电费用；算法计算速度快，响应时间延时少，有效缓解了高峰时刻的电网负荷。

Abstract:

In this paper, we propose a home electricity control system with a smart grid for managing the demand of home appliances and to ease the peak-time grid pressure. We designed an intelligent controller that can obtain user power information and provide users with time-sharing electricity metering, while also being convenient for suppliers to apply the demand management system. To reduce the load power and demand-response delay time, we propose a multi-objective optimization technique. Its convergence rate is rapid and it can satisfy the immediate response requirement. The results for 500 families taking part in the experiment show that the proposed household electricity control system is reasonable, reduces user electricity costs, and reduces the response time delay due to its fast calculation speed, thereby effectively alleviating the peak time of the power grid.